Abstract: The present disclosure provides a compound function prediction method based on a neural network and a connectivity map (CMAP) algorithm. The compound function prediction method is used to predict an efficacy of a compound, and the compound function prediction method includes the following steps: constructing a compound molecule-encoding vector neural network; constructing and training an encoding vector-marker gene expression variation deep neural network; constructing and training a marker gene expression level or gene expression variation-whole genome gene expression level or gene expression variation neural network; constructing upregulated and downregulated gene sets of a disease or a phenotype; and evaluating a correlation between the compound and the disease or the phenotype.

Abstract: A system and method for testing Error Correcting Code (“ECC”) function of Field Programmable Gate Array (“FPGA”) on-chip block random access memory (“BRAM”) includes control modules, at least two BRAMs with ECC function and sequentially connected to form a ring, and parity bit comparison modules corresponding to each BRAM. Each parity bit comparison module is connected to its corresponding BRAM and the next adjacent BRAM. The control module is used to send data read and write test instructions to each BRAM. Each BRAM is used to read test data sequentially, write test data into next adjacent BRAM whenever the test data is read, and send the first parity bit generated during reading to the corresponding parity bit comparison module. Each parity bit comparison module is used to compare the first and second parity bits, where the second parity bit is generated during the writing of test data.

Abstract: The present disclosure provides a compound function prediction method based on a neural network and a connectivity map (CMAP) algorithm. The compound function prediction method is used to predict an efficacy of a compound, and the compound function prediction method includes the following steps: constructing a compound molecule—encoding vector neural network; constructing and training an encoding vector—marker gene expression variation deep neural network; constructing and training a marker gene expression level or gene expression variation—whole genome gene expression level or gene expression variation neural network; constructing upregulated and downregulated gene sets of a disease or a phenotype; and evaluating a correlation between the compound and the disease or the phenotype.

Abstract: The present disclosure provides a compound function prediction method based on a neural network and a connectivity map (CMAP) algorithm. The compound function prediction method is used to predict an efficacy of a compound, and the compound function prediction method includes the following steps: constructing a compound molecule—encoding vector neural network; constructing and training an encoding vector—marker gene expression variation deep neural network; constructing and training a marker gene expression level or gene expression variation—whole genome gene expression level or gene expression variation neural network; constructing upregulated and downregulated gene sets of a disease or a phenotype; and evaluating a correlation between the compound and the disease or the phenotype.

Abstract: A method for realizing the multimedia message signature service includes the following steps: a user asking for opening the multimedia message signature service; the BOSS sending the related information of the user whose multimedia message signature service has been opened to MMSC; the MMSC configuring the corresponding service function for the user whose multimedia message signature service has been opened, and synchronizing the said service function into its user database; the user setting the content of his multimedia message signature. By using this method, a new service mode can be created, and meanwhile, it has the function that enables a user to edit personalized information, and this greatly promotes the development of multimedia messaging service.

Abstract: A method for realizing the multimedia message signature service includes the following steps: a user asking for opening the multimedia message signature service; the BOSS sending the related information of the user whose multimedia message signature service has been opened to MMSC; the MMSC configuring the corresponding service function for the user whose multimedia message signature service has been opened, and synchronizing the said service function into its user database; the user setting the content of his multimedia message signature. By using this method, a new service mode can be created, and meanwhile, it has the function that enables a user to edit personalized information, and this greatly promotes the development of multimedia messaging service.